Skip to main content

Using Python to implement Needleman Wunsch and Smith Waterman algorithms

Introduction

Yuque Blog

Install

$ pip install pairwiseAlignment

Help

Usage: pairwiseAlignment [OPTIONS]  

  Using Python to implement Needleman Wunsch and Smith Waterman algorithms
  for pairwise sequence alignment

Options:
  -1, --seq1 TEXT        The first sequence.
  -2, --seq2 TEXT        The second sequence.
  -m, --match FLOAT      The match score.  [default: 1.0]
  -d, --mismatch FLOAT   The mismatch penalty.  [default: -1.0]
  -g, --gap FLOAT        The gap open penalty.  [default: -2.0]
  -e, --extension FLOAT  The gap extension penalty.  [default: -1.0]
  -o, --output TEXT      The output directory.  [default: output]
  -G, --global           Choose global alignment.[default]
  -L, --local            Choose local alignment.
  -n, --nosave           Do not save the alignment result.
  --help                 Show this message and exit

Metadata

Release files for pairwiseAlignment 0.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pairwiseAlignment 0.2.3
File Size Uploaded Provenance
pairwiseAlignment-0.2.3.tar.gz 8.0 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for pairwiseAlignment 0.2.3
File Interpreter ABI Platform
pairwiseAlignment-0.2.3-py3-none-any.whl Python 3 none any Details

Total release size: 16.9 kB

Release files / pairwiseAlignment-0.2.3.tar.gz

Download URL pairwiseAlignment-0.2.3.tar.gz
Size 8.0 kB
Tags Source
SHA-256 checksum
How to use checksums
20290f74bc48baa08ffe7b54fca1ccbf195aa688235eb9b693c1a8ae2a51a3bf
BLAKE2b-256 checksum
How to use checksums
31b4016cecce17f4052f8dd3b61eb1f7babd08a324212b26bdb8a91130aa12f5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.12

Release files / pairwiseAlignment-0.2.3-py3-none-any.whl

Download URL pairwiseAlignment-0.2.3-py3-none-any.whl
Size 8.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ac173f10cf59e78a70f8cfa2257135d0d4796ac313ecc69db5cf3324223c2f6d
BLAKE2b-256 checksum
How to use checksums
1ea7e9f6005680dae0c21de9c508577d0e9b7448879d04e7a08de77e49b8407f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.12

Security for pairwiseAlignment 0.2.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page